0.6.1

README
Python Bindings. Again. No, really! (#55 )
2026-09-03 02:46:07 -07:00 · 2023-09-23 11:12:34 +01:00 · 2023-09-23 11:06:18 +01:00 · 2023-09-23 02:10:04 +08:00 · 2023-09-16 19:38:07 +01:00 · 2023-09-16 19:27:30 +01:00
21 changed files with 282 additions and 353 deletions
@@ -3,7 +3,7 @@
 #
 #    maturin generate-ci github
 #
-name: CI
+name: python

 on:
  push:
@@ -102,17 +102,20 @@ jobs:
  release:
    name: Release
    runs-on: ubuntu-latest
+    # Specifying a GitHub environment is optional, but strongly encouraged
+    environment: python
+    permissions:
+      # IMPORTANT: this permission is mandatory for trusted publishing
+      id-token: write
    if: "startsWith(github.ref, 'refs/tags/')"
-    needs: [linux, windows, macos, sdist]
+    needs: [windows, macos, sdist, linux] 
    steps:
      - uses: actions/download-artifact@v3
        with:
          name: wheels
      - name: Publish to PyPI
        uses: PyO3/maturin-action@v1
-        env:
-          MATURIN_PYPI_TOKEN: ${{ secrets.PYPI_API_TOKEN }}
        with:
          command: upload
          args: --non-interactive --skip-existing *
-          manylinux: auto
+          # manylinux: auto
@@ -5,13 +5,19 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](http://keepachangelog.com/)
 and this project adheres to [Semantic Versioning](http://semver.org/).

-## 0.6.0 - 2023-09-16
+## 0.6.1 - 2023-09-23

-* Python Binding
+* Fixed "The two lines are parallel!"
+
+### Python Binding
+
+Thanks to the contribution of [@etjones](https://github.com/etjones), we now have an official Python binding! https://github.com/visioncortex/vtracer/pull/55
+
+https://pypi.org/project/vtracer/0.6.10/

 ## 0.5.0 - 2022-10-09

-* Handle transparent png images (cli) (#23)
+* Handle transparent png images (cli) https://github.com/visioncortex/vtracer/pull/23

 ## 0.4.0 - 2021-07-23

@@ -25,6 +31,10 @@ and this project adheres to [Semantic Versioning](http://semver.org/).

 * Use relative & closed paths

+## 0.1.1 - 2020-11-01
+
+* SVG namespace
+
 ## 0.1.0 - 2020-10-31

 * Initial release
@@ -8,14 +8,14 @@
  </p>

  <h3>
-    <a href="//www.visioncortex.org/vtracer-docs">Article</a>
+    <a href="https://www.visioncortex.org/vtracer-docs">Article</a>
    <span> | </span>
-    <a href="//www.visioncortex.org/vtracer/">Demo</a>
+    <a href="https://www.visioncortex.org/vtracer/">Demo</a>
    <span> | </span>
-    <a href="//github.com/visioncortex/vtracer/releases/latest">Download</a>
+    <a href="https://github.com/visioncortex/vtracer/releases/latest">Download</a>
  </h3>

-  <sub>Built with 🦀 by <a href="//www.visioncortex.org/">The Vision Cortex Research Group</a></sub>
+  <sub>Built with 🦀 by <a href="https://www.visioncortex.org/">The Vision Cortex Research Group</a></sub>
 </div>

 ## Introduction
@@ -28,7 +28,7 @@ Comparing to Adobe Illustrator's [Image Trace](https://helpx.adobe.com/illustrat

 VTracer is originally designed for processing high resolution scans of historic blueprints up to gigapixels. At the same time, VTracer can also handle low resolution pixel art, simulating `image-rendering: pixelated` for retro game artworks.

-A technical description of the algorithm is on [visioncortex.org/vtracer-docs](//www.visioncortex.org/vtracer-docs).
+A technical description of the algorithm is on [visioncortex.org/vtracer-docs](https://www.visioncortex.org/vtracer-docs).

 ## Web App

@@ -41,7 +41,7 @@ VTracer and its [core library](//github.com/visioncortex/visioncortex) is implem
 ## Cmd App

 ```sh
-visioncortex VTracer 0.4.0
+visioncortex VTracer 0.6.0
 A cmd app to convert images into vector graphics.

 USAGE:
@@ -71,30 +71,41 @@ OPTIONS:
    -s, --splice_threshold <splice_threshold>    Minimum angle displacement (degree) to splice a spline
 ```

-### Usage
+### Install
+
+You can download pre-built binaries from [Releases](https://github.com/visioncortex/vtracer/releases).
+
+You can also install the program from source from [crates.io/vtracer](https://crates.io/crates/vtracer):
+
+```sh
+cargo install vtracer
 ```
+
+### Usage
+
+```sh
 ./vtracer --input input.jpg --output output.svg
 ```

-## Library
+## Rust Library

-The library can be found on [crates.io/vtracer](//crates.io/crates/vtracer) and [crates.io/vtracer-webapp](//crates.io/crates/vtracer-webapp).
-
-## Install
-
-Download pre-built binaries from [Releases](https://github.com/visioncortex/vtracer/releases).
-
-or
-
-Install from source (Rust toolchain needed):
+You can install [`vtracer`](https://crates.io/crates/vtracer) as a Rust library.

+```sh
+cargo add vtracer
 ```
-cargo install vtracer
+
+## Python Library
+
+Since `0.6`, [`vtracer`](https://pypi.org/project/vtracer/) is also packaged as Python native extensions, thanks to the awesome [pyo3](https://github.com/PyO3/pyo3) project.
+
+```sh
+pip install vtracer
 ```

 ## In the wild

-VTracer is used by the following products (feel free to add yours to the list):
+VTracer is used by the following projects (feel free to add yours!):

 <table>
  <tbody>
@@ -106,3 +117,15 @@ VTracer is used by the following products (feel free to add yours to the list):
    </tr>
  </tbody>
 </table>
+
+## What's next?
+
+There are several things in my mind:
+
+1. Pencil tracing. Instead of tracing shapes as closed paths, may be we can attempt to skeletonize the shapes as open paths. The output would be clean, fixed width strokes.
+
+2. Perfect cut-out mode. Right now in cut-out mode, the shapes do not share perfect boundaries, but have seams.
+
+3. Image cleaning. Right now the tracer works best on losslessly compressed pngs. If an image suffered from jpeg noises, it could impact the tracing quality. We might be able to develop a pre-filtering pass that denoises the input.
+
+If you are interested in working on them or willing to sponsor its development, feel free to get in touch.
@@ -1,6 +1,6 @@
 [package]
 name = "vtracer"
-version = "0.6.0"
+version = "0.6.1"
 authors = ["Chris Tsang <chris.2y3@outlook.com>"]
 edition = "2021"
 description = "A cmd app to convert images into vector graphics."
@@ -13,9 +13,13 @@ keywords = ["svg", "computer-graphics"]
 [dependencies]
 clap = "2.33.3"
 image = "0.23.10"
-visioncortex = { version = "0.8.0" }
+visioncortex = { version = "0.8.1" }
 fastrand = "1.8"
 pyo3 = { version = "0.19.0", optional = true }

 [features]
-python-binding = ["pyo3"]
+python-binding = ["pyo3"]
+
+[lib]
+name = "vtracer"
+crate-type = ["cdylib"]
@@ -0,0 +1,96 @@
+<div align="center">
+
+  <img src="https://raw.githubusercontent.com/visioncortex/vtracer/master/docs/images/visioncortex-banner.png">
+  <h1>VTracer</h1>
+
+  <p>
+    <strong>Raster to Vector Graphics Converter built on top of visioncortex</strong>
+  </p>
+
+  <h3>
+    <a href="https://www.visioncortex.org/vtracer-docs">Article</a>
+    <span> | </span>
+    <a href="https://www.visioncortex.org/vtracer/">Demo</a>
+    <span> | </span>
+    <a href="https://github.com/visioncortex/vtracer/releases/latest">Download</a>
+  </h3>
+
+  <sub>Built with 🦀 by <a href="https://www.visioncortex.org/">The Vision Cortex Research Group</a></sub>
+</div>
+
+## Introduction
+
+visioncortex VTracer is an open source software to convert raster images (like jpg & png) into vector graphics (svg). It can vectorize graphics and photographs and trace the curves to output compact vector files.
+
+Comparing to [Potrace](http://potrace.sourceforge.net/) which only accept binarized inputs (Black & White pixmap), VTracer has an image processing pipeline which can handle colored high resolution scans.
+
+Comparing to Adobe Illustrator's [Image Trace](https://helpx.adobe.com/illustrator/using/image-trace.html), VTracer's output is much more compact (less shapes) as we adopt a stacking strategy and avoid producing shapes with holes.
+
+VTracer is originally designed for processing high resolution scans of historic blueprints up to gigapixels. At the same time, VTracer can also handle low resolution pixel art, simulating `image-rendering: pixelated` for retro game artworks.
+
+A technical description of the algorithm is on [visioncortex.org/vtracer-docs](https://www.visioncortex.org/vtracer-docs).
+
+## Cmd App
+
+```sh
+visioncortex VTracer 0.6.0
+A cmd app to convert images into vector graphics.
+
+USAGE:
+    vtracer [OPTIONS] --input <input> --output <output>
+
+FLAGS:
+    -h, --help       Prints help information
+    -V, --version    Prints version information
+
+OPTIONS:
+        --colormode <color_mode>                 True color image `color` (default) or Binary image `bw`
+    -p, --color_precision <color_precision>      Number of significant bits to use in an RGB channel
+    -c, --corner_threshold <corner_threshold>    Minimum momentary angle (degree) to be considered a corner
+    -f, --filter_speckle <filter_speckle>        Discard patches smaller than X px in size
+    -g, --gradient_step <gradient_step>          Color difference between gradient layers
+        --hierarchical <hierarchical>
+            Hierarchical clustering `stacked` (default) or non-stacked `cutout`. Only applies to color mode.
+
+    -i, --input <input>                          Path to input raster image
+    -m, --mode <mode>                            Curver fitting mode `pixel`, `polygon`, `spline`
+    -o, --output <output>                        Path to output vector graphics
+        --path_precision <path_precision>        Number of decimal places to use in path string
+        --preset <preset>                        Use one of the preset configs `bw`, `poster`, `photo`
+    -l, --segment_length <segment_length>
+            Perform iterative subdivide smooth until all segments are shorter than this length
+
+    -s, --splice_threshold <splice_threshold>    Minimum angle displacement (degree) to splice a spline
+```
+
+### Install
+
+You can download pre-built binaries from [Releases](https://github.com/visioncortex/vtracer/releases).
+
+You can also install the program from source from [crates.io/vtracer](https://crates.io/crates/vtracer):
+
+```sh
+cargo install vtracer
+```
+
+### Usage
+
+```sh
+./vtracer --input input.jpg --output output.svg
+```
+
+## Rust Library
+
+You can install [`vtracer`](https://crates.io/crates/vtracer) as a Rust library.
+
+```sh
+cargo add vtracer
+```
+
+## Python Library
+
+Since `0.6`, [`vtracer`](https://pypi.org/project/vtracer/) is also packaged as Python native extensions, thanks to the awesome [pyo3](https://github.com/PyO3/pyo3) project.
+
+```sh
+pip install vtracer
+```
@@ -1,6 +1,6 @@
 [project]
 name = "vtracer"
-version = "0.6.0"
+version = "0.6.10"
 description = "Python bindings for the Rust Vtracer raster-to-vector library"
 authors = [ { name = "Chris Tsang",  email = "chris.2y3@outlook.com" } ]
 readme = "vtracer/README.md"
@@ -23,6 +23,6 @@ requires = ["maturin>=1.2,<2.0"]
 build-backend = "maturin"

 [tool.maturin]
-features = ["pyo3/extension-module"]
+features = ["pyo3/extension-module", "python-binding"]
 compatibility = "manylinux2014"
 sdist-include = ["LICENSE-MIT", "vtracer/README.md"]
@@ -1,4 +1,4 @@
-// Copyright 2020 Tsang Hao Fung. See the COPYRIGHT
+// Copyright 2023 Tsang Hao Fung. See the COPYRIGHT
 // file at the top-level directory of this distribution and at
 // http://rust-lang.org/COPYRIGHT.
 //
@@ -1,8 +1,10 @@
-use vtracer::{Config, convert_image_to_svg};
+mod config;
+mod converter;
+mod svg;

 fn main() {
-    let config = Config::from_args();
-    let result = convert_image_to_svg(config);
+    let config = config::Config::from_args();
+    let result = converter::convert_image_to_svg(config);
    match result {
        Ok(()) => {
            println!("Conversion successful.");
@@ -1,28 +1,29 @@
+use crate::*;
 use pyo3::prelude::*;
-
-use visioncortex::{PathSimplifyMode};
-use super::converter::*;
+use std::path::PathBuf;
+use visioncortex::PathSimplifyMode;

 /// Python binding
 #[pyfunction]
-fn convert_image_to_svg_py( image_path: &str, 
-                            out_path: &str,   
-                            colormode: Option<&str>,       // "color" or "binary"
-                            hierarchical: Option<&str>,    // "stacked" or "cutout"
-                            mode: Option<&str>,            // "polygon", "spline", "none"
-                            filter_speckle: Option<usize>, // default: 4
-                            color_precision: Option<i32>,  // default: 6
-                            layer_difference: Option<i32>, // default: 16
-                            corner_threshold: Option<i32>, // default: 60   
-                            length_threshold: Option<f64>, // in [3.5, 10] default: 4.0
-                            max_iterations: Option<usize>, // default: 10
-                            splice_threshold: Option<i32>, // default: 45
-                            path_precision: Option<u32>    // default: 8
-                        ) -> PyResult<()> {
+fn convert_image_to_svg_py(
+    image_path: &str,
+    out_path: &str,
+    colormode: Option<&str>,       // "color" or "binary"
+    hierarchical: Option<&str>,    // "stacked" or "cutout"
+    mode: Option<&str>,            // "polygon", "spline", "none"
+    filter_speckle: Option<usize>, // default: 4
+    color_precision: Option<i32>,  // default: 6
+    layer_difference: Option<i32>, // default: 16
+    corner_threshold: Option<i32>, // default: 60
+    length_threshold: Option<f64>, // in [3.5, 10] default: 4.0
+    max_iterations: Option<usize>, // default: 10
+    splice_threshold: Option<i32>, // default: 45
+    path_precision: Option<u32>,   // default: 8
+) -> PyResult<()> {
    let input_path = PathBuf::from(image_path);
    let output_path = PathBuf::from(out_path);

-    // TODO: enforce color mode with an enum so that we only 
+    // TODO: enforce color mode with an enum so that we only
    // accept the strings 'color' or 'binary'
    let color_mode = match colormode.unwrap_or("color") {
        "color" => ColorMode::Color,
@@ -35,7 +36,7 @@ fn convert_image_to_svg_py( image_path: &str,
        "cutout" => Hierarchical::Cutout,
        _ => Hierarchical::Stacked,
    };
-    
+
    let mode = match mode.unwrap_or("spline") {
        "spline" => PathSimplifyMode::Spline,
        "polygon" => PathSimplifyMode::Polygon,
@@ -43,13 +44,13 @@ fn convert_image_to_svg_py( image_path: &str,
        _ => PathSimplifyMode::Spline,
    };

-    let filter_speckle =    filter_speckle.unwrap_or(4);
-    let color_precision =   color_precision.unwrap_or(6);
-    let layer_difference =  layer_difference.unwrap_or(16);
-    let corner_threshold =  corner_threshold.unwrap_or(60);
-    let length_threshold =  length_threshold.unwrap_or(4.0);
-    let splice_threshold =  splice_threshold.unwrap_or(45);
-    let max_iterations =    max_iterations.unwrap_or(10);
+    let filter_speckle = filter_speckle.unwrap_or(4);
+    let color_precision = color_precision.unwrap_or(6);
+    let layer_difference = layer_difference.unwrap_or(16);
+    let corner_threshold = corner_threshold.unwrap_or(60);
+    let length_threshold = length_threshold.unwrap_or(4.0);
+    let splice_threshold = splice_threshold.unwrap_or(45);
+    let max_iterations = max_iterations.unwrap_or(10);

    let config = Config {
        input_path,
@@ -65,10 +66,9 @@ fn convert_image_to_svg_py( image_path: &str,
        max_iterations,
        splice_threshold,
        path_precision,
-        ..Default::default()                
+        ..Default::default()
    };

-
    convert_image_to_svg(config).unwrap();
    Ok(())
 }
@@ -78,4 +78,4 @@ fn convert_image_to_svg_py( image_path: &str,
 fn vtracer(_py: Python, m: &PyModule) -> PyResult<()> {
    m.add_function(wrap_pyfunction!(convert_image_to_svg_py, m)?)?;
    Ok(())
-}
+}
@@ -34,6 +34,7 @@ impl SvgFile {
 impl fmt::Display for SvgFile {
    fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
        writeln!(f, r#"<?xml version="1.0" encoding="UTF-8"?>"#)?;
+        writeln!(f, r#"<!-- Generator: visioncortex VTracer {} -->"#, env!("CARGO_PKG_VERSION"))?;
        writeln!(f,
            r#"<svg version="1.1" xmlns="http://www.w3.org/2000/svg" width="{}" height="{}">"#,
            self.width, self.height
@@ -1,3 +1,3 @@
-Copyright (c) 2024 TSANG, Hao Fung
+Copyright (c) 2020 Tsang Hao Fung

 The content in the /docs directory is for GitHub pages, and is not covered under open source licenses.
@@ -61,92 +61,92 @@
 /******/ 					"__wbindgen_string_new": function(p0i32,p1i32) {
 /******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbindgen_string_new"](p0i32,p1i32);
 /******/ 					},
-/******/ 					"__wbg_new_abda76e883ba8a5f": function() {
-/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_new_abda76e883ba8a5f"]();
+/******/ 					"__wbg_new_59cb74e423758ede": function() {
+/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_new_59cb74e423758ede"]();
 /******/ 					},
-/******/ 					"__wbg_stack_658279fe44541cf6": function(p0i32,p1i32) {
-/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_stack_658279fe44541cf6"](p0i32,p1i32);
+/******/ 					"__wbg_stack_558ba5917b466edd": function(p0i32,p1i32) {
+/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_stack_558ba5917b466edd"](p0i32,p1i32);
 /******/ 					},
-/******/ 					"__wbg_error_f851667af71bcfc6": function(p0i32,p1i32) {
-/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_error_f851667af71bcfc6"](p0i32,p1i32);
+/******/ 					"__wbg_error_4bb6c2a97407129a": function(p0i32,p1i32) {
+/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_error_4bb6c2a97407129a"](p0i32,p1i32);
 /******/ 					},
-/******/ 					"__wbg_instanceof_Window_f401953a2cf86220": function(p0i32) {
-/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_instanceof_Window_f401953a2cf86220"](p0i32);
+/******/ 					"__wbg_instanceof_Window_adf3196bdc02b386": function(p0i32) {
+/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_instanceof_Window_adf3196bdc02b386"](p0i32);
 /******/ 					},
-/******/ 					"__wbg_document_5100775d18896c16": function(p0i32) {
-/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_document_5100775d18896c16"](p0i32);
+/******/ 					"__wbg_document_6cc8d0b87c0a99b9": function(p0i32) {
+/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_document_6cc8d0b87c0a99b9"](p0i32);
 /******/ 					},
-/******/ 					"__wbg_createElementNS_556a62fb298be5a2": function(p0i32,p1i32,p2i32,p3i32,p4i32) {
-/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_createElementNS_556a62fb298be5a2"](p0i32,p1i32,p2i32,p3i32,p4i32);
+/******/ 					"__wbg_createElementNS_ea14cb45a87a0719": function(p0i32,p1i32,p2i32,p3i32,p4i32) {
+/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_createElementNS_ea14cb45a87a0719"](p0i32,p1i32,p2i32,p3i32,p4i32);
 /******/ 					},
-/******/ 					"__wbg_getElementById_c369ff43f0db99cf": function(p0i32,p1i32,p2i32) {
-/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_getElementById_c369ff43f0db99cf"](p0i32,p1i32,p2i32);
+/******/ 					"__wbg_getElementById_0cb6ad9511b1efc0": function(p0i32,p1i32,p2i32) {
+/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_getElementById_0cb6ad9511b1efc0"](p0i32,p1i32,p2i32);
 /******/ 					},
-/******/ 					"__wbg_setAttribute_3c9f6c303b696daa": function(p0i32,p1i32,p2i32,p3i32,p4i32) {
-/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_setAttribute_3c9f6c303b696daa"](p0i32,p1i32,p2i32,p3i32,p4i32);
+/******/ 					"__wbg_setAttribute_727bdb9763037624": function(p0i32,p1i32,p2i32,p3i32,p4i32) {
+/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_setAttribute_727bdb9763037624"](p0i32,p1i32,p2i32,p3i32,p4i32);
 /******/ 					},
-/******/ 					"__wbg_prepend_6fcfb183e9fe632c": function(p0i32,p1i32) {
-/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_prepend_6fcfb183e9fe632c"](p0i32,p1i32);
+/******/ 					"__wbg_prepend_fa995bb42f6e2983": function(p0i32,p1i32) {
+/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_prepend_fa995bb42f6e2983"](p0i32,p1i32);
 /******/ 					},
-/******/ 					"__wbg_instanceof_CanvasRenderingContext2d_20bf99ccc051643b": function(p0i32) {
-/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_instanceof_CanvasRenderingContext2d_20bf99ccc051643b"](p0i32);
+/******/ 					"__wbg_debug_d101e002eb92f20b": function(p0i32,p1i32,p2i32,p3i32) {
+/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_debug_d101e002eb92f20b"](p0i32,p1i32,p2i32,p3i32);
 /******/ 					},
-/******/ 					"__wbg_getImageData_740186e596b34364": function(p0i32,p1f64,p2f64,p3f64,p4f64) {
-/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_getImageData_740186e596b34364"](p0i32,p1f64,p2f64,p3f64,p4f64);
+/******/ 					"__wbg_error_cb872335132b1ef7": function(p0i32,p1i32,p2i32,p3i32) {
+/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_error_cb872335132b1ef7"](p0i32,p1i32,p2i32,p3i32);
 /******/ 					},
-/******/ 					"__wbg_data_c02d3aac6da15e9f": function(p0i32,p1i32) {
-/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_data_c02d3aac6da15e9f"](p0i32,p1i32);
+/******/ 					"__wbg_info_a25afde0ff8cd04a": function(p0i32,p1i32,p2i32,p3i32) {
+/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_info_a25afde0ff8cd04a"](p0i32,p1i32,p2i32,p3i32);
 /******/ 					},
-/******/ 					"__wbg_debug_7d879afce6cf56cb": function(p0i32,p1i32,p2i32,p3i32) {
-/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_debug_7d879afce6cf56cb"](p0i32,p1i32,p2i32,p3i32);
+/******/ 					"__wbg_log_3bafd82835c6de6d": function(p0i32) {
+/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_log_3bafd82835c6de6d"](p0i32);
 /******/ 					},
-/******/ 					"__wbg_error_696630710900ec44": function(p0i32,p1i32,p2i32,p3i32) {
-/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_error_696630710900ec44"](p0i32,p1i32,p2i32,p3i32);
+/******/ 					"__wbg_log_64f566ae90a6c43c": function(p0i32,p1i32,p2i32,p3i32) {
+/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_log_64f566ae90a6c43c"](p0i32,p1i32,p2i32,p3i32);
 /******/ 					},
-/******/ 					"__wbg_info_80803d9a3f0aad16": function(p0i32,p1i32,p2i32,p3i32) {
-/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_info_80803d9a3f0aad16"](p0i32,p1i32,p2i32,p3i32);
+/******/ 					"__wbg_warn_f632d7d3f55682b6": function(p0i32,p1i32,p2i32,p3i32) {
+/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_warn_f632d7d3f55682b6"](p0i32,p1i32,p2i32,p3i32);
 /******/ 					},
-/******/ 					"__wbg_log_5bb5f88f245d7762": function(p0i32) {
-/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_log_5bb5f88f245d7762"](p0i32);
+/******/ 					"__wbg_instanceof_CanvasRenderingContext2d_5b86ec94bce38d5b": function(p0i32) {
+/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_instanceof_CanvasRenderingContext2d_5b86ec94bce38d5b"](p0i32);
 /******/ 					},
-/******/ 					"__wbg_log_151eb4333ef0fe39": function(p0i32,p1i32,p2i32,p3i32) {
-/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_log_151eb4333ef0fe39"](p0i32,p1i32,p2i32,p3i32);
+/******/ 					"__wbg_getImageData_888c08c04395524a": function(p0i32,p1f64,p2f64,p3f64,p4f64) {
+/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_getImageData_888c08c04395524a"](p0i32,p1f64,p2f64,p3f64,p4f64);
 /******/ 					},
-/******/ 					"__wbg_warn_5d3f783b0bae8943": function(p0i32,p1i32,p2i32,p3i32) {
-/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_warn_5d3f783b0bae8943"](p0i32,p1i32,p2i32,p3i32);
+/******/ 					"__wbg_instanceof_HtmlCanvasElement_4f5b5ec6cd53ccf3": function(p0i32) {
+/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_instanceof_HtmlCanvasElement_4f5b5ec6cd53ccf3"](p0i32);
 /******/ 					},
-/******/ 					"__wbg_instanceof_HtmlCanvasElement_46bdbf323b0b18d1": function(p0i32) {
-/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_instanceof_HtmlCanvasElement_46bdbf323b0b18d1"](p0i32);
+/******/ 					"__wbg_width_a22f9855caa54b53": function(p0i32) {
+/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_width_a22f9855caa54b53"](p0i32);
 /******/ 					},
-/******/ 					"__wbg_width_aee8b8809b033b05": function(p0i32) {
-/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_width_aee8b8809b033b05"](p0i32);
+/******/ 					"__wbg_height_9a404a6b3c61c7ef": function(p0i32) {
+/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_height_9a404a6b3c61c7ef"](p0i32);
 /******/ 					},
-/******/ 					"__wbg_height_80053d3c71b338e0": function(p0i32) {
-/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_height_80053d3c71b338e0"](p0i32);
+/******/ 					"__wbg_getContext_37ca0870acb096d9": function(p0i32,p1i32,p2i32) {
+/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_getContext_37ca0870acb096d9"](p0i32,p1i32,p2i32);
 /******/ 					},
-/******/ 					"__wbg_getContext_df50fa48a8876636": function(p0i32,p1i32,p2i32) {
-/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_getContext_df50fa48a8876636"](p0i32,p1i32,p2i32);
+/******/ 					"__wbg_data_c2cd7a48734589b2": function(p0i32,p1i32) {
+/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_data_c2cd7a48734589b2"](p0i32,p1i32);
 /******/ 					},
-/******/ 					"__wbg_newnoargs_e258087cd0daa0ea": function(p0i32,p1i32) {
-/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_newnoargs_e258087cd0daa0ea"](p0i32,p1i32);
-/******/ 					},
-/******/ 					"__wbg_call_27c0f87801dedf93": function(p0i32,p1i32) {
-/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_call_27c0f87801dedf93"](p0i32,p1i32);
+/******/ 					"__wbg_call_8e95613cc6524977": function(p0i32,p1i32) {
+/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_call_8e95613cc6524977"](p0i32,p1i32);
 /******/ 					},
 /******/ 					"__wbindgen_object_clone_ref": function(p0i32) {
 /******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbindgen_object_clone_ref"](p0i32);
 /******/ 					},
-/******/ 					"__wbg_self_ce0dbfc45cf2f5be": function() {
-/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_self_ce0dbfc45cf2f5be"]();
+/******/ 					"__wbg_newnoargs_f3b8a801d5d4b079": function(p0i32,p1i32) {
+/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_newnoargs_f3b8a801d5d4b079"](p0i32,p1i32);
 /******/ 					},
-/******/ 					"__wbg_window_c6fb939a7f436783": function() {
-/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_window_c6fb939a7f436783"]();
+/******/ 					"__wbg_self_07b2f89e82ceb76d": function() {
+/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_self_07b2f89e82ceb76d"]();
 /******/ 					},
-/******/ 					"__wbg_globalThis_d1e6af4856ba331b": function() {
-/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_globalThis_d1e6af4856ba331b"]();
+/******/ 					"__wbg_window_ba85d88572adc0dc": function() {
+/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_window_ba85d88572adc0dc"]();
 /******/ 					},
-/******/ 					"__wbg_global_207b558942527489": function() {
-/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_global_207b558942527489"]();
+/******/ 					"__wbg_globalThis_b9277fc37e201fe5": function() {
+/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_globalThis_b9277fc37e201fe5"]();
+/******/ 					},
+/******/ 					"__wbg_global_e16303fe83e1d57f": function() {
+/******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbg_global_e16303fe83e1d57f"]();
 /******/ 					},
 /******/ 					"__wbindgen_is_undefined": function(p0i32) {
 /******/ 						return installedModules["../pkg/vtracer_webapp_bg.js"].exports["__wbindgen_is_undefined"](p0i32);
@@ -258,7 +258,7 @@
 /******/ 				promises.push(installedWasmModuleData);
 /******/ 			else {
 /******/ 				var importObject = wasmImportObjects[wasmModuleId]();
-/******/ 				var req = fetch(__webpack_require__.p + "" + {"../pkg/vtracer_webapp_bg.wasm":"1ea3f1b97c566154f2b2"}[wasmModuleId] + ".module.wasm");
+/******/ 				var req = fetch(__webpack_require__.p + "" + {"../pkg/vtracer_webapp_bg.wasm":"589cb57662b50620abca"}[wasmModuleId] + ".module.wasm");
 /******/ 				var promise;
 /******/ 				if(importObject instanceof Promise && typeof WebAssembly.compileStreaming === 'function') {
 /******/ 					promise = Promise.all([WebAssembly.compileStreaming(req), importObject]).then(function(items) {
@@ -1,44 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?>
-<!-- Generator: Adobe Illustrator 19.2.1, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
-<svg version="1.1" id="Layer_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
-	 viewBox="0 0 1783.4 441.4" style="enable-background:new 0 0 1783.4 441.4;" xml:space="preserve">
-<style type="text/css">
-	.st0{fill:#A1FCFE;}
-	.st1{fill:#010357;}
-</style>
-<rect class="st0" width="1783.4" height="441.4"/>
-<g>
-	<path class="st1" d="M61.4,393.2V73.8H250V113H109v100.4h124.2v39.7H109v140.1L61.4,393.2L61.4,393.2z"/>
-	<path class="st1" d="M280,393.2V159.7h45.3v233.5L280,393.2L280,393.2z M330.9,92.4c0-15.5-12.5-28-28-28s-28,12.5-28,28
-		s12.5,28,28,28S330.9,107.9,330.9,92.4z"/>
-	<path class="st1" d="M383.5,338.6V57.9h45.3v278.8c0,21,3.7,26.1,18.7,26.1c6.1,0,11.7-0.5,16.8-1.4v30.4
-		c-9.8,2.8-20.1,4.2-29.9,4.2C400.3,396,383.5,376.9,383.5,338.6z"/>
-	<path class="st1" d="M480.6,275.5c0-78.5,41.6-121.4,110.2-121.4c31.3,0,55.6,9.8,72.9,29.9c17.3,19.6,26.2,45.3,26.2,77.5
-		c0,7-0.5,14.9-1.9,24.3H525.4c0.9,50.9,22.4,76.6,64.4,76.6c31.8,0,53.2-14.5,53.2-42H687c0,48.6-39.7,77.5-97.6,77.5
-		C521.7,397.9,480.6,357.3,480.6,275.5z M645,251.7c-0.9-41.6-19.6-62.1-55.6-62.1c-39.7,0-59.8,24.3-63.5,62.1H645z"/>
-	<path class="st1" d="M720.7,323.2h44.8c1.9,28.5,18.7,38.8,51.8,38.8c28.5,0,46.7-15,46.7-35c0-20.6-16.8-28.5-48.1-36l-13.1-2.8
-		l-14.5-3.7l-12.6-4.2c-6.1-1.9-10.7-3.3-13.1-4.7c-5.1-3.3-17.3-8.9-21.5-14.5c-7.5-8.9-15.4-21.5-14-38.8c0-21,8.4-37.8,25.2-50
-		c17.3-12.1,37.8-18.2,62.1-18.2c55.6,0,91.5,22.4,91.5,72.4h-43c-0.5-26.6-16.8-36.4-49-36.4c-24.3,0-40.6,11.2-40.6,31.3
-		c0,18.7,15.9,25.7,49,33.6l5.6,1.4c10.3,2.3,18.2,4.7,23.3,6.1c5.1,1.4,12.1,4.2,21,8.4c23.8,10.3,34.6,25.7,36.9,56
-		c0,43.4-37.8,71-92.5,71C754.8,397.9,720.7,371.7,720.7,323.2z"/>
-	<path class="st1" d="M964,336.7V192.4h-39.2v-32.7h39.7V94.3h44.8v65.4h64v32.7h-64v143.4c0,17.3,8.9,25.7,26.2,25.7
-		c14.5,0,28-1.9,39.7-5.1v34.6c-13.6,4.2-28,6.1-43.4,6.1C986.9,397,964,375.5,964,336.7z"/>
-	<path class="st1" d="M1095.3,325.5c0-44.8,35-69.6,93.4-69.6h58.4v-20.6c0-28.5-16.8-45.8-50-45.8c-35.5,0-51.8,16.8-51.8,41.6
-		h-43.4c0-44.8,33.2-77.1,95.3-77.1c61.2,0,95.7,30.4,95.7,83.1v92.5c0,26.1,3.7,32.2,17.3,33.6h6.5v29.4
-		c-4.7,1.4-11.7,2.3-21.5,2.3c-26.6,0-41.6-15.9-43.4-41.6c-8.9,23.8-36.4,44.4-74.3,44.4C1127.5,397.9,1095.3,368.5,1095.3,325.5z
-		 M1247.1,297.5v-9.3h-58.4c-32.2,0-48.6,12.6-48.6,37.4c0,22.9,14,36.9,41.6,36.9C1222.3,362.4,1247.1,334.4,1247.1,297.5z"/>
-	<path class="st1" d="M1351.7,395.1V161.6h43.9l0.9,36.4h0.9c11.7-24.8,34.1-40.6,62.1-40.6c8.4,0,15.9,0.9,22.9,3.3v38.8
-		c-7.5-1.4-15.9-1.9-25.7-1.9c-33.2,0-59.3,28-59.3,72.9v124.7H1351.7z"/>
-	<g>
-		<g>
-			<rect x="1549" y="146.5" transform="matrix(0.866 -0.5 0.5 0.866 137.8024 841.2704)" class="st1" width="179.4" height="34"/>
-		</g>
-		<g>
-			<rect x="1621.7" y="73.8" transform="matrix(0.5 -0.866 0.866 0.5 677.7373 1500.9166)" class="st1" width="34" height="179.4"/>
-		</g>
-		<g>
-			<rect x="1621.7" y="73.8" class="st1" width="34" height="179.4"/>
-		</g>
-	</g>
-</g>
-</svg>
@@ -11,14 +11,12 @@
        <!-- UIkit JS -->
        <script src="./uikit/js/uikit.min.js"></script>
        <script src="./uikit/js/uikit-icons.min.js"></script>
-        <!-- Google tag (gtag.js) -->
-        <script async src="https://www.googletagmanager.com/gtag/js?id=G-XPL1JGMDSC"></script>
-        <script>
-        window.dataLayer = window.dataLayer || [];
-        function gtag(){dataLayer.push(arguments);}
-        gtag('js', new Date());
-
-        gtag('config', 'G-XPL1JGMDSC');
+        <script type="text/javascript">
+        (function(c,l,a,r,i,t,y){
+            c[a]=c[a]||function(){(c[a].q=c[a].q||[]).push(arguments)};
+            t=l.createElement(r);t.async=1;t.src="https://www.clarity.ms/tag/"+i;
+            y=l.getElementsByTagName(r)[0];y.parentNode.insertBefore(t,y);
+        })(window, document, "clarity", "script", "403biw7tra");
        </script>
        <style>
        html, body {
@@ -130,35 +128,6 @@
        .uk-text-meta {
            font-size: 12px;
        }
-        .desktop-banner {
-            border: 1px solid rgba(204, 151, 46, 0.55);
-            background: rgba(204, 151, 46, 0.12);
-            gap: 8px 16px;
-            padding-top: 8px;
-            padding-bottom: 8px;
-        }
-        .desktop-banner-title {
-            margin: 0;
-            font-weight: 700;
-        }
-        .desktop-banner-copy {
-            margin: 4px 0 0 0;
-        }
-        .desktop-banner .uk-button {
-            white-space: nowrap;
-        }
-        .uk-light .desktop-banner {
-            border-color: rgba(204, 151, 46, 0.7);
-            background: rgba(204, 151, 46, 0.16);
-        }
-        @media only screen and (max-width: 640px) {
-            .desktop-banner {
-                text-align: center;
-            }
-            .desktop-banner .uk-button {
-                width: 100%;
-            }
-        }
        </style>
    </head>

@@ -173,21 +142,13 @@
                    / VTracer
                </div>
                <div class="uk-navbar-right uk-padding-small">
+                    <a class="uk-button uk-button-default" href="//www.visioncortex.org/vtracer-docs">Article</a>
+                    &nbsp;&nbsp;
                    <a class="uk-button uk-button-default" href="//github.com/visioncortex/vtracer">GitHub</a>
                    &nbsp;&nbsp;
                    <a id="export" class="uk-button uk-button-primary">Download as SVG</a>    
                </div>
            </div>
-            <div class="uk-width-1-1">
-                <div class="desktop-banner uk-padding-small uk-flex uk-flex-middle uk-flex-between uk-flex-wrap">
-                    <div class="uk-margin-small-right">
-                        <p id="desktop-banner-copy" class="desktop-banner-title">Try the latest VTracer Desktop App for native speed, curve simplification, and higher tracing quality.</p>
-                    </div>
-                    <a id="desktop-download" class="uk-button uk-button-primary" href="https://github.com/visioncortex/vtracer/releases/latest" rel="noopener">
-                        Download Desktop App
-                    </a>
-                </div>
-            </div>
            <div id="progressregion" class="uk-width-1-1 uk-padding-small" style="display: none;">
                <progress id="progressbar" class="uk-progress uk-align-right" value="0" max="100" style="width: 98%;"></progress>
            </div>
@@ -353,125 +314,6 @@
            document.body.classList.remove('uk-dark');
            document.body.classList.add('uk-light');
        }
-
-        (function() {
-            var releasesUrl = 'https://github.com/visioncortex/vtracer/releases/latest';
-            var manifestUrl = 'https://raw.githubusercontent.com/visioncortex/vtracer/desktop-updates/latest.json';
-            var downloadLink = document.getElementById('desktop-download');
-            var bannerCopy = document.getElementById('desktop-banner-copy');
-
-            function detectPlatform() {
-                var platform = navigator.userAgentData && navigator.userAgentData.platform
-                    ? navigator.userAgentData.platform
-                    : navigator.platform || '';
-                var userAgent = navigator.userAgent || '';
-                var platformText = platform + ' ' + userAgent;
-
-                if (/Windows/i.test(platformText)) {
-                    return {
-                        label: 'Windows',
-                        manifestKeys: ['windows-x86_64']
-                    };
-                }
-
-                if (/Mac|Darwin/i.test(platformText) && !/iPhone|iPad|iPod/i.test(userAgent)) {
-                    return {
-                        label: 'macOS',
-                        manifestKeys: ['macos-universal', 'darwin-universal', 'darwin-aarch64', 'darwin-x86_64']
-                    };
-                }
-
-                if (/Linux|X11/i.test(platformText) && !/Android/i.test(userAgent)) {
-                    return {
-                        label: 'Linux',
-                        manifestKeys: ['linux-x86_64']
-                    };
-                }
-
-                return {
-                    label: '',
-                    manifestKeys: []
-                };
-            }
-
-            function setFallback(platform) {
-                downloadLink.href = releasesUrl;
-                downloadLink.textContent = platform.label ? 'Download for ' + platform.label : 'View latest downloads';
-                bannerCopy.textContent = platform.label
-                    ? 'Try the latest VTracer Desktop App for ' + platform.label + ' with native speed, curve simplification, and higher tracing quality.'
-                    : 'Try the latest VTracer Desktop App for native speed, curve simplification, and higher tracing quality.';
-            }
-
-            function findPlatformDownload(platforms, platform) {
-                var keys = platform.manifestKeys || [];
-
-                for (var i = 0; i < keys.length; i++) {
-                    if (platforms[keys[i]] && platforms[keys[i]].url) {
-                        return platforms[keys[i]].url;
-                    }
-                }
-
-                return '';
-            }
-
-            function publicDownloadUrl(platform, updaterUrl) {
-                if (platform.label !== 'macOS' || !updaterUrl) {
-                    return updaterUrl;
-                }
-
-                // The manifest points at Tauri's updater bundle; a person wants the
-                // disk image sitting beside it. Rewrite only the filename, so the
-                // release tag comes from the URL we were handed: manifest.version
-                // carries a build suffix the tag does not, and building the URL from
-                // it 404s (version '1.0.0-alpha.3.app.59' lives under tag
-                // '1.0.0-alpha.3').
-                return updaterUrl.replace(/\.app\.tar\.gz$/i, '.dmg');
-            }
-
-            var platform = detectPlatform();
-            setFallback(platform);
-
-            downloadLink.addEventListener('click', function() {
-                if (typeof gtag !== 'function') {
-                    return;
-                }
-
-                gtag('event', 'desktop_download_click', {
-                    platform: platform.label || 'unknown',
-                    source: 'docs_banner',
-                    download_url: downloadLink.href,
-                    transport_type: 'beacon'
-                });
-            });
-
-            if (!window.fetch) {
-                return;
-            }
-
-            fetch(manifestUrl)
-                .then(function(response) {
-                    if (!response.ok) {
-                        throw new Error('Desktop manifest lookup failed');
-                    }
-                    return response.json();
-                })
-                .then(function(manifest) {
-                    var updaterUrl = findPlatformDownload(manifest.platforms || {}, platform);
-                    var downloadUrl = publicDownloadUrl(platform, updaterUrl);
-
-                    if (!downloadUrl) {
-                        return;
-                    }
-
-                    downloadLink.href = downloadUrl;
-                    downloadLink.textContent = 'Download for ' + platform.label;
-
-                    bannerCopy.textContent = 'Try the latest VTracer Desktop App for ' + platform.label + ' with native speed, curve simplification, and higher tracing quality.';
-                })
-                .catch(function() {
-                    setFallback(platform);
-                });
-        })();
        </script>
        <script src="./bootstrap.js"></script>
    </body>
@@ -22,7 +22,7 @@ console_log = { version = "0.2", features = ["color"] }
 wasm-bindgen = { version = "0.2", features = ["serde-serialize"]  }
 serde = { version = "1.0", features = ["derive"] }
 serde_json = "1.0"
-visioncortex = "0.8.1"
+visioncortex = "0.6.0"

 # The `console_error_panic_hook` crate provides better debugging of panics by
 # logging them with `console.error`. This is great for development, but requires
@@ -35,11 +35,7 @@ document.addEventListener('paste', function (e) {

 // Download as SVG
 document.getElementById('export').addEventListener('click', function (e) {
-    const blob = new Blob([
-        `<?xml version="1.0" encoding="UTF-8"?>\n`,
-        `<!-- Generator: visioncortex VTracer -->\n`,
-        new XMLSerializer().serializeToString(svg)
-    ], {type: 'octet/stream'}),
+    const blob = new Blob([new XMLSerializer().serializeToString(svg)], {type: 'octet/stream'}),
    url = window.URL.createObjectURL(blob);

    this.href = url;
@@ -448,7 +444,7 @@ class ConverterRunner {
        this.converter.init();
        this.stopped = false;
        if (clustering_mode == 'binary') {
-            svg.style.background = '#fff';
+            svg.style.background = '#000';
            canvas.style.display = 'none';
        } else {
            svg.style.background = '';
@@ -77,7 +77,7 @@ impl BinaryImageConverter {
                    self.params.max_iterations,
                    self.params.splice_threshold
                );
-                let color = Color::color(&ColorName::Black);
+                let color = Color::color(&ColorName::White);
                self.svg.prepend_path(
                    &paths,
                    &color,
@@ -1,6 +1,6 @@
 use wasm_bindgen::prelude::*;
 use visioncortex::PathSimplifyMode;
-use visioncortex::color_clusters::{Clusters, Runner, RunnerConfig, HIERARCHICAL_MAX, IncrementalBuilder, KeyingAction};
+use visioncortex::color_clusters::{IncrementalBuilder, Clusters, Runner, RunnerConfig, HIERARCHICAL_MAX};

 use crate::canvas::*;
 use crate::svg::*;
@@ -78,8 +78,6 @@ impl ColorImageConverter {
            is_same_color_b: 1,
            deepen_diff: self.params.layer_difference,
            hollow_neighbours: 1,
-            key_color: Default::default(),
-            keying_action: KeyingAction::Discard,
        }, image);
        self.stage = Stage::Clustering(runner.start());
    }
@@ -110,8 +108,6 @@ impl ColorImageConverter {
                                is_same_color_b: 1,
                                deepen_diff: 0,
                                hollow_neighbours: 0,
-                                key_color: Default::default(),
-                                keying_action: KeyingAction::Discard,
                            }, image);
                            self.stage = Stage::Reclustering(runner.start());
                        },
Author	SHA1	Message	Date
Chris Tsang	022018beb2	0.6.1	2023-09-23 11:12:34 +01:00
Chris Tsang	cc39c8c5ca	README	2023-09-23 11:06:18 +01:00
Evan Jones	fa1ab68ef3	Python Bindings. Again. No, really! (#55 ) * - Cargo.toml: add `crate-type = ["cdylib"] to [lib]; lacking this is what was causing the executable to be put in wheels - pyproject.toml: add "python-binding" to features for conditional compilation - main.rs: `cargo build` was failing for the vtracer executable; I think the previous import scheme had an implicit dependency on the library being built and called 'vtracer'. The other way to do this would have been to add an explicit dependency to the [[bin]], but making explicit imports here solves things directly * re-enable linux builds; features are defined in the pyproject.toml now rather than in the workflow arguments * And publish Linux, too!	2023-09-23 02:10:04 +08:00
Chris Tsang	b04738fd18	well	2023-09-16 19:38:07 +01:00
Chris Tsang	1080c562ce	Try again	2023-09-16 19:27:30 +01:00
Chris Tsang	e44e750721	try again	2023-09-16 19:09:20 +01:00
Chris Tsang	05f5b51db0	Add xml comment	2023-09-17 16:24:33 +01:00
Chris Tsang	68e8e7fdf1	Disable Linux for now	2023-09-17 15:47:55 +01:00
Chris Tsang	f5cce867f2	python again	2023-09-16 17:59:52 +01:00
Chris Tsang	79dd451da1	Remove filestar From my knowledge they are no longer using vtracer	2023-09-16 17:53:43 +01:00
Chris Tsang	f71dd47907	python release	2023-09-16 17:47:04 +01:00
Chris Tsang	594125f737	Release notes	2023-09-16 15:31:36 +01:00
Chris Tsang	93e946f3c2	python release	2023-09-16 15:05:24 +01:00
Chris Tsang	914e4ab875	python release	2023-09-16 14:51:26 +01:00
Chris Tsang	95b8cbce6c	Rename workflow	2023-09-16 14:40:29 +01:00
Chris Tsang	b49158f24c	Rename workflow	2023-09-16 14:40:17 +01:00